-core and multi-processor systems as it is to single-core systems. Figure 1shows some examples of graphical programming languages based on dataflow paradigm. (a) Ptolemy[8] (b) NI LabVIEW[9] Figure 1. Examples of Graphical Programming Languages based on Data Flow ParadigmAs it can be seen in figure 1, almost all the true graphical programming languages use a blockdiagram format that coincides with the way engineering students are taught algorithms anddesigns. This makes it easy for them to translate the theory they learn in class to actualexperiments that run on hardware. Graphical programming also presents a “black box” approachto targeting common hardware platforms. As it can be seen in
searching. Prerequisites: CSCI 1370/CSCI 1380 (or CSCI 1387) or consent of instructor.CSCI-3333 Algorithm and Data Structures: This course is a continuation of data structures topics covered in CSCI 2380. Content includes theoretical topics in algorithmic efficiency and complexity, along with abstract data types, including graphs, networks, trees, and priority queues. Search topics, including hashing, trees, external search trees (B-trees), and sorting algorithms including external sorting are introduced and compared. Computational complexity topics include the class P and NP, NP-completeness and reducibility, NPcompleteness proofs, and
Processing Education Workshop, Pine Mountain, GA, Sept. 2002. [2] A. J. S. Ferreira and F. J. O. Restivo, “Grasping the potential of digital signal process- ing through real–time DSP laboratory experiments,” in Proc. IEEE Signal Processing Society’s 2nd Signal Processing Education Workshop, Pine Mountain, GA, Sept. 2002. [3] C. H. G. Wright, T. B. Welch, D. M. Etter, and M. G. Morrow, “Teaching DSP: bridging the gap from theory to real–time hardware,” Computers in Education Journal, vol. 13, no. 3, pp. 14–26, July–September 2003. [4] T. S. Hall and D. V. Anderson, “From algorithms to gates: Developing a pedagogical framework for DSP hardware design,” in Proc. IEEE Signal Processing Society’s 2nd Signal Processing Education
position differentiation isviewed as very course content specific. Thus, there may be variation in the way the twoinstructors covered this content. Although WEB students did better on the change managementitem than did LEC students, in general, this item had a very low correct answer rate, suggestingone of several possibilities: (a) content may not have been taught, and/or (b) the item may bepoorly constructed.The differences between the percentages of correct response for the WEB students versus theLEC students were lowest in the following content areas: ≠ Life stage transition ≠ Organization management/culture ≠ Employee supervisionThe COST course provides an applied approach to the collection, analysis, presentation
results will be available by summer 2013.References1. Shepperd, James A., Jodi L. Grace, Erika J. Koch. “Evaluating the Electronic Textbook: Is It Time to Dispense With the Paper Text?” Teaching of Psychology Vol. 35, Iss. 1, 2008.2. Aust, Ronald, Mary Kelley, Warren Roby. “The Use of Hyper-Reference and Conventional Dictionaries” Educational Technology Research and Development Vol. 41, Iss 4. 1993.3. Daniel, David B. E-Textbooks At What Cost? Performance and Use of Electronic v. Print Texts, Computers & Education, Available online 1 November 2012.4. Guess, A. “E-textbooks—for real this time?“ Inside Higher Education 3 Jan 2008 accessed Nov 1, 2012.5. Snowhill, L. “E-books and their future in academic libraries: An
memory (MEM) for storing both programs and data.The complete data path is shown in Figure 1. BUS A BUS B BUS C 6 PC IR A1 A2 1 REGS 2 MUX 2 A ALU R B
across the enterprise in ourpeople, technologies, processes, tools, and products; b) Expanding the company’s technical skillsand performance by improving the acquisition, retention, knowledge, and utilization of ourtechnical workforce for business success; and c) Participating in representing the company’stechnology interests to the outside world customers, general public, academia and government.This research partnership is investigating designs for technology-enhanced teaching, learningand assessment that connect opportunities for formal and informal learning and support anaeronautics workforce culture that is adaptive to change. Conceptually, AerosPACE andEngineering Education Research offer a completely cohesive approach to understanding
photograph below theText Box there is another view of St. George’s Church from a different perspective. On thebottom right of the History Screen there is a Next Button that takes the learner to the DimensionsTab.Figure 4: Multi-Media Graphical System Physical Dimensions Tab Screenshot. (B&W 3D Photo[12])The Physical Dimensions Tab shows a black and white image of St. George’s Church and a textbox listing the physical attributes and dimensions of St. George’s Church and trench thatsurrounds it. Like the other Tabs, the Dimensions Tab has a “Back” and a “Next” button locatedat the bottom right hand of screen. The “Back” Button returns the learner to the previous Tab inthe sequence, which is the History Tab. The “Next” Button takes the learner to
Paper ID #12210Work-in-Progress: Incoming Student Technology EducationDr. James E. Lewis, University of Louisville James E. Lewis, Ph.D. is an Assistant Professor in the Department of Engineering Fundamentals in the J. B. Speed School of Engineering at the University of Louisville. His research interests include paral- lel and distributed computer systems, cryptography, engineering education, undergraduate retention and technology (Tablet PCs) used in the classroom.Dr. Jeffrey Lloyd Hieb, University of Louisville Jeffrey L. Hieb is an Associate Professor in the Department of Engineering Fundamentals at the Univer
, JournalCooperation & Collaboration in College Teaching, Vol. 10, pp. 69-75.3. Essay Writing and the quality of feedback. Hounsell, D. 1987, Journal of Teacher Education.4. Identifying the salient facets of a model of student learning: a synthesis of meta-analyses. Hattie, JA. 1987,International Journal of Educational Research, Vol. 11, pp. 187-212.5. Student Writing in Higher Education: an academic literacies approach. Lea, M. & Street, B. 1998, Studies inHigher Education, pp. 157-172.6. Doies your assessment support your studens' learning? Gibbs, Graham and Simpson, Claire. 1, 2004, Journalof Teaching and Learning in Higher Education, Vol. 1, pp. 3-31.7. Wotjas, O. Feedback? No, just give us the answers. Times Higher Education Supplement. September
, T., Miller, J., Simmons, B., Stanger, R., Waddoups, G. L., Moore, M. S., Swan, R., Allen, R. & Greg Bodily, G. (2005). “The virtual ChemLab project: a realistic and sophisticated simulation of organic synthesis and organic qualitative analysis, Journal of Chemical Education, vol. 82, no. 11, pp. 1728-1735.39. Virtual physics laboratory at Brigham Young University: http://chemlab.byu.edu/tour/Physics40. “Cell Biology”, a project at the University of Arizona: http://www.biology.arizona.edu/cell_bio/activities/cell_cycle/cell_cycle.html.41. WISE environments, research platform at RWTH Aachen: http://www.manuelglasl.de/index.php?article_id=1.42. Center for Computing and Communication of RWTH Aachen: http://www.rz.rwth
/2515127419870266 [8] G. Secundo, V. Ndou, and P. Del Vecchio, “Challenges for Instilling Entrepreneurial Mindset in Scientists and Engineers: What Works in European Universities?” International Journal of Innovation and Technology Management, vol. 13, no. 5, oct 2016. [9] D. Ridley, B. Davis, and I. Korovyakovskaya, “Entrepreneurial Mindset and the University Curriculum,” Journal of Higher Education Theory and Practice, vol. 17, no. 2, apr 2017. [Online]. Available: https://articlegateway.com/index.php/JHETP/article/view/1569[10] J. M. Haynie, D. Shepherd, E. Mosakowski, and P. C. Earley, “A situated metacognitive model of the entrepreneurial mindset,” Journal of Business Venturing, vol. 25, no. 2, pp. 217–229, 2010. [Online
Paper ID #26289Digital Teaching and Learning Projects in Engineering Education at Technis-che Universit¨at BerlinMr. Florian Schmidt, TU Berlin Florian Schmidt is a research associate at the chair Complex and Distributed IT-Systems from the TU Berlin, Germany. He finished his M. Sc. Computer Science at TU Berlin in 2015 and his B. Sc. Computer Science at the Leibniz Universit¨at Hannover in 2012. His main research focus is anomaly detection algo- rithms for high-frequent data streams. More details: http://www.user.tu-berlin.de/flohannes/florianschmidtDr. Franz-Josef Schmitt, Technische Universit¨at Berlin Dr. Schmitt is
Dr. Darren Lim Siena College Siena College 515 Loudon Rd. 515 Loudon Rd. Loudonville, NY 12211 Loudonville, NY 12211 rusakgili@gmail.com dlim@siena.eduABSTRACTIn this paper, we describe Codester, an original application that teaches young students the principles ofprogramming. The application was developed for the Android operating system, which allows for the useof tablets and smartphones as our teaching medium, instead of traditional laptops and desktops. Codesteris the central teaching tool used in a novel outreach program, known as the Computer Science Caravan
AC 2011-1368: HOW EDUCATIONAL INSTITUTIONS CAN HANDLE MORESTUDENTS WITH FEWER FACULTY MEMBERSCarolyn Kusbit Dunn, East Carolina University Carolyn Dunn is an Assistant Professor in the Department of Technology Systems at East Carolina Uni- versity. She teaches technical writing both face to face and online. Dunn has a PhD in English with a concentration in Technical and Professional Discourse. Her research interests are organizational communication, crisis communication and language and power.David L Batts, East Carolina University David Batts, Ed.D., is an assistant professor in the Department of Technology Systems at East Carolina University. His career experiences include industrial consulting and managing an
processing and documentation processing. There aretwo types of data processing procedures for qualitative and quantitative data. Depending on thequality of the data and documentation, varying levels of the processing standards are applied.For example, UK Data Archive allocates Standard A*, A, B, and C for quantitative studies 15.Standard A* is applied to data sets that are destined for the archive’s browsing tool. Studiesdeposited by government departments and major research centers are processed with Standard A.Standards B and C are allocated to the studies from academic sources, and studies with materialsin poor condition, respectively.For qualitative data, the same four-level standards are applied with different details. Standard A*is allocated
Page 15.207.7computed to summarize the results, and independent Student t-tests were used to evaluatestatistical significance of any observed differences in the responses of the two groups. Onlinestudents were also asked to compare their online experience in the Circuits class with otheronline courses that they have taken.3. Results3.1 Class Performance ComparisonTable 3 shows a comparison of the performance of the online and on-campus students. For thiscomparison, retention rate is defined as the percentage of students who did not withdraw fromthe class, and hence received a grade of either A, B, C, D, or F. Success rate is defined as thepercentage of students who received a passing grade (A, B, or C). The retention rates are almostthe same
Center Figure 1: The Virtual Training Environment (VTE) system overview.2.2 – Simulation and Animation for Interactive EducationThe VTE system supports multiple sessions and classrooms. Each course needs to have its ownpackage of model components to be integrated into the syllabus. To facilitate describing thissection we us a pilot course like Data Communications and Networking as an example. When amessage is sent from point A to B, the simulated model can project animation of the flowbetween the two points. Depending which portion of the course is under focus, the details of thecommunication pattern are projected. For example, the routing mechanism in the network andthe congestion handling process when part of the network becomes
DispenserTaking aliquots by the Moore pipette requires time, high attention and manual skills, the lack ofwhich causes errors in students' experiments9. We developed and implemented a simpleautomatic dispenser (see Figure 1). F E C B A D Page 15.815.3 Figure 1. A. Servo motor; B. Plastic rail; C. Syringe; D. Tip; E Crank; F Interface.The device is a slider-crank mechanism constructed out of a servo motor A
, 2p 12/7/2004 3. “Orcad Capture”, http://www.orcad.com/orcadcapture.aspx, Cadence Design Systems, Inc. 2004 4. “Using tt2rom to Synthesize Truth Table in ROM”. http://www.thayer.darmouth.edu/~bpoque/labs/tt2rom.pdf, Spring 2002 5. Ameen, M., Brown, R., Rashik R, Sundaran S., Zeeshan, M. “Programming Read Only Memory with Orcad”, unpublished manual. 6. Cook, N., “Electronics: A Complete Course, 2/E”, Chapter. 27 Semiconductor Memory, Prentice Hall 2004. 7. Kleitz, W., “Digital Electronics with VHDL”, Chpt. 16 Semiconductors, Magnetic, and Optical Memory, Prentice Hall 2005. 8. Manes, S., “The Weird New World of Hardware Fixes”, PC World, Vol. 23 Issue pg 176, 1p, 1c. 9. Schweber, B., “Mems Make a
procedural programming have any advantages over OOP? Page 11.791.727. What are the hazards of using global variables?28. Give a brief example of a db schema that is not normalized.29. Now, normalize the above schema.30. Write an SQL statement that modifies an existing record from the above normalized schema.31. When would it make sense to decrease the degree of normalization?32. What is PLSQL (or PLPGSQL, PLMYSQL …etc.) and when should it be used?33. When combining PHP code with HTML, do you prefer to … a. Insert the PHP code into the HTML via PHP tags b. Output the HTML code from within your PHP
either uploading a photo or pdf file of their paper assignment or workperformed on the iPad using a utility such as Notability. Examples of work turned in as a pdf filefrom Notability are shown in Figures 4a and 4b. (a) (b) Figure 4. (a) Assignment turned in as a pdf file and (b) assignment turned in using Notability. All whiteboard work performed by the instructor was photographed and added to the
AC 2011-69: HANDS ON PROGRAMMABLE LOGIC CONTROLLER (PLC)LABORATORY FOR AN INDUSTRIAL CONTROLS COURSESteven F Barrett, University of Wyoming Steven F. Barrett, Ph.D., P.E. received the BS Electronic Engineering Technology from the University of Nebraska at Omaha in 1979, the M.E.E.E. from the University of Idaho at Moscow in 1986, and the Ph.D. from The University of Texas at Austin in 1993. He was formally an active duty faculty member at the United States Air Force Academy, Colorado and is now the Associate Dean of Academic Programs, Col- lege of Engineering & Applied Science, University of Wyoming. He is a member of ASEE, IEEE (senior) and Tau Beta Pi (chief faculty advisor). His research interests include
, Tampa, FL, 2019.[7] D. A. Bowman and R. P. McMahan, “Virtual Reality: How Much Immersion is Enough?,” Computer, vol. 40, no. 7, pp. 36–42, 2007.[8] J.-W. Lin, H. B.-L. Duh, D. E. Parker, H. Abi-Rached, and T. A. Furness, “Effects of field of view on presence, enjoyment, memory, and simulator sickness in a virtual environment,” in Virtual Reality, 2002. Proceedings. IEEE, 2002, pp. 164–171.[9] G. Thorsteinsson, and L. V. Shavinina, “Developing an Understanding of the Pedagogy of Using a Virtual Reality Learning Environment (VRLE) to Support Innovation Education,” Routledge Int. Handb. Innov. Educ. Ed. LV Shavinina Oxf. Routledge ISBN-10, vol. 415682215, pp. 456–470, 2013.[10] A. Rice, “Exploring the Impact of
Response System for Increasing Engagement, Motivation, and Learning in HighEnrollment Lectures,” in Proceedings of the Eleventh Americas Conference on InformationSystems.[4] Graham, Charles R., Tonya R. Tripp, Larry Seawright and George L. Joeckel. (2007)“Empowering or compelling reluctant participators using audience response systems,” ActiveLearning in Higher Education.[5] Preszler, Ralph W., Angus Dawe, Charles B. Shuster and Michele Shuster. (2007)“Assessment of the Effects of Student Response Systems on Student Learning and Attitudes overa Broad Range of Biology Courses,” CBE - Life Sciences Education[6] Siau, Keng, Sheng, Hong and Fiona Fui-Hoon Nah. (2006) “Use of a Class ResposneSystem to Enhance Classroom Interactivity.” IEEE
facilitate studying the aesthetic quality in geospatial applications involving urban planning and landscape aesthetics.ReferencesArnab, S., Berta, R., Earp, J., Freitas, S., Popescu, M., Romero, M., Stanescu, I. and Usart, M., Framing the Adoption of Serious Games in Formal Education Electronic Journal of e- Learning Volume 10 Issue 2, pp. 159-171, 2012Baker, T. R., and S. W. Bednarz, “Lessons learned from reviewing research in GIS education”, Journal of Geography, 102 (6):231–233, 2003.Chandramouli, M. B. Huang, and L. Xue, (2009) “Spatial Change Optimization”, Photogrammetric Engineering & Remote Sensing, 75(8), 1015-1022, 2009Donaldson, D. P., “With a little help from our friends: implementing geographic
, oh my gosh, she wrote something with [professor B], really, did she”,and “They worked together and I can probably now talk with [professor A] in terms of gettinginstruction [from professor B]”. The network graph on iKNEER helps new researchers makeprofessional connections in their research.Theme 2.3 iKNEER has a role beyond researchAt the time when we conducted this study, iKNEER archives more NSF grant proposals thanacademic papers. Many participants indicated that they expect more papers than proposals, andthey are not particularly interested in grant proposals. Grant proposals are regarded as moreuseful for young faculty members who just started to apply for grants, but not as useful for first-year PhD students. For example, P6 said “it’s
Engineering Education, 34(1), 26-39. 5. Stern, F., Xing, T., Muste, M., Yarbrough, D., Rothmayer, A., Rajagopalan, G., Caughey, D., Bhaskaran, R., Smith, S., and Hutchings, B. (2006). "Integration of simulation technology into undergraduate engineering courses and laboratories." International Journal of Learning Technology, 2(1), 28-48. 6. Busch-Vishniac, I., Kibler, T., Campbell, P. B., Patterson, E., Guillaume, D., Jarosz, J., Chassapis, C., Emery, A., Ellis, G., Whitworth, H., Metz, S., Brainard, S., and Ray, P. (2011). "Deconstructing Engineering Education Programmes: The DEEP Project to reform the mechanical engineering curriculum." European Journal of Engineering Education, 36(3), 269-283. 7. Cheah, C., Chen
developing countries, the WorldBank notes that very little relevant data and research exists.[4] One tool used when considering Page 14.1342.4the cost of such technology deployments is the Total Cost of Ownership (TCO) model. Muchfocus has been placed on the race to create a $100 laptop and other ultra-low cost computers fordeveloping countries but the costs of supporting these projects past the initial hardwareinvestment has been largely ignored. The TCO model divides costs into three separatecategories; a) initial costs, b) recurrent costs, and c) hidden costs. The initial costs of atechnology deployment are often the most highly visible and can
Limitations To support the objectives given above, a program named SS-T-Conduct (Steady Stateand Transient Heat Conduction) was written. The program has the following capabilities: a) A user friendly, education oriented program that can handle one and two-dimensional, steady state and transient heat conduction problems. b) Users have full and easy control of the key numerical parameters (nodes and grids), material properties, and boundary conditions and parameters. c) Users can view the effect of parameter changes on the temperature distribution instantly. Page 11.451.5 d) User can have many different ways of